Coding Ranking
See which AI models perform best on Coding, which ones stay reliable, and where the biggest gaps appear. Sort by: Total Cost ↑.
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| Rank | Model | Company | Coding Score | Score | Total Cost | Tests Correct | Response Time (avg) |
|---|---|---|---|---|---|---|---|
| #239 | Qwen3.5-9B none | Qwen | 3.9 | 5.1 | $0.021 | 0/3 | 5.60s |
| #161 | Ling-3.0-flash high | Inclusionai | 6.7 | 6.4 | $0.021 | 1/3 | 14.9s |
| #217 | Mimo V2 Omni none | Xiaomi | 4.4 | 5.5 | $0.021 | 0/3 | 2.75s |
| #224 | DeepSeek V4 Flash 0731 none | DeepSeek | 4.3 | 5.4 | $0.021 | 0/3 | 1.72s |
| #235 | Mistral Small 4 none | Mistral | 3.7 | 5.1 | $0.022 | 0/3 | 901ms |
| #264 | Laguna S 2.1 none | Poolside | 3.4 | 4.5 | $0.022 | 0/3 | 550ms |
| #274 | MiMo-V2-Flash none | Xiaomi | 4.3 | 4.0 | $0.025 | 0/3 | 2.64s |
| #238 | MiMo-V2.5 none | Xiaomi | 5.5 | 5.1 | $0.025 | 1/3 | 3.24s |
| #237 | Qwen3 Coder Next none | Qwen | 4.6 | 5.1 | $0.026 | 0/3 | 2.22s |
| #249 | Ring-2.6-1T none | Inclusionai | 5.3 | 4.8 | $0.026 | 1/3 | 143.8s |
| #199 | GLM 5 none | Z.ai | 4.0 | 5.7 | $0.027 | 0/3 | 5.12s |
| #221 | GPT-5.6 Luna none | OpenAI | 3.8 | 5.4 | $0.029 | 0/3 | 980ms |
| #261 | Mercury 2 none | Inception | 3.4 | 4.7 | $0.030 | 0/3 | 1.03s |
| #259 | Laguna M.1 medium | Poolside | 1.5 | 4.7 | $0.033 | 0/1 | 35.6s |
| #262 | Qwen3 Coder Next medium | Qwen | 3.7 | 4.6 | $0.034 | 0/3 | 924ms |